Advances in Social Media Analysis

This volume presents a collection of carefully selected contributions in the area of social media analysis. Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research. The chapters are diverse enough to serve a number...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gaber, Mohamed Medhat (Editor), Cocea, Mihaela (Editor), Wiratunga, Nirmalie (Editor), Goker, Ayse (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:Studies in Computational Intelligence, 602
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:This volume presents a collection of carefully selected contributions in the area of social media analysis. Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research. The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book. The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website. The book will be useful to research students, academics and practitioners in the area of social media analysis.  .
Physical Description:VII, 151 p. 29 illus. online resource.
ISBN:9783319184586
ISSN:1860-949X ;